{"id":"https://openalex.org/W4408557719","doi":"https://doi.org/10.1177/18724981251318529","title":"Discovering new relationships using multipoles through correlation and threshold analysis","display_name":"Discovering new relationships using multipoles through correlation and threshold analysis","publication_year":2025,"publication_date":"2025-03-18","ids":{"openalex":"https://openalex.org/W4408557719","doi":"https://doi.org/10.1177/18724981251318529"},"language":"en","primary_location":{"id":"doi:10.1177/18724981251318529","is_oa":true,"landing_page_url":"https://doi.org/10.1177/18724981251318529","pdf_url":"https://journals.sagepub.com/doi/pdf/10.1177/18724981251318529","source":{"id":"https://openalex.org/S119727669","display_name":"Intelligent Decision Technologies","issn_l":"1872-4981","issn":["1872-4981","1875-8843"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Intelligent Decision Technologies","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"bronze","oa_url":"https://journals.sagepub.com/doi/pdf/10.1177/18724981251318529","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5104262608","display_name":"Pratistha Gaur","orcid":null},"institutions":[{"id":"https://openalex.org/I302410947","display_name":"M S Ramaiah University of Applied Sciences","ror":"https://ror.org/02anh8x74","country_code":"IN","type":"education","lineage":["https://openalex.org/I302410947"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Pratistha Gaur","raw_affiliation_strings":["Department of Computer Science and Engineering, MS Ramaiah University of Applied Sciences, Bengaluru, India"],"raw_orcid":"https://orcid.org/0009-0005-2126-0471","affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, MS Ramaiah University of Applied Sciences, Bengaluru, India","institution_ids":["https://openalex.org/I302410947"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5116674662","display_name":"Pavan Kumar Vadla","orcid":null},"institutions":[{"id":"https://openalex.org/I302410947","display_name":"M S Ramaiah University of Applied Sciences","ror":"https://ror.org/02anh8x74","country_code":"IN","type":"education","lineage":["https://openalex.org/I302410947"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Pavan Kumar Vadla","raw_affiliation_strings":["Department of Computer Science and Engineering, MS Ramaiah University of Applied Sciences, Bengaluru, India"],"raw_orcid":"https://orcid.org/0009-0002-9861-2218","affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, MS Ramaiah University of Applied Sciences, Bengaluru, India","institution_ids":["https://openalex.org/I302410947"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5073598223","display_name":"P Sudarshan","orcid":null},"institutions":[{"id":"https://openalex.org/I302410947","display_name":"M S Ramaiah University of Applied Sciences","ror":"https://ror.org/02anh8x74","country_code":"IN","type":"education","lineage":["https://openalex.org/I302410947"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"P Sudarshan","raw_affiliation_strings":["Department of Computer Science and Engineering, MS Ramaiah University of Applied Sciences, Bengaluru, India"],"raw_orcid":"https://orcid.org/0009-0002-9793-7643","affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, MS Ramaiah University of Applied Sciences, Bengaluru, India","institution_ids":["https://openalex.org/I302410947"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5099073638","display_name":"Prrathyush Kedeelaya","orcid":null},"institutions":[{"id":"https://openalex.org/I302410947","display_name":"M S Ramaiah University of Applied Sciences","ror":"https://ror.org/02anh8x74","country_code":"IN","type":"education","lineage":["https://openalex.org/I302410947"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Prrathyush Kedeelaya","raw_affiliation_strings":["Department of Computer Science and Engineering, MS Ramaiah University of Applied Sciences, Bengaluru, India"],"raw_orcid":"https://orcid.org/0009-0008-6353-7178","affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, MS Ramaiah University of Applied Sciences, Bengaluru, India","institution_ids":["https://openalex.org/I302410947"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5002844497","display_name":"Narendra Babu C.","orcid":"https://orcid.org/0000-0002-2358-3443"},"institutions":[{"id":"https://openalex.org/I302410947","display_name":"M S Ramaiah University of Applied Sciences","ror":"https://ror.org/02anh8x74","country_code":"IN","type":"education","lineage":["https://openalex.org/I302410947"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"C Narendra Babu","raw_affiliation_strings":["Department of Computer Science and Engineering, MS Ramaiah University of Applied Sciences, Bengaluru, India"],"raw_orcid":"https://orcid.org/0000-0002-2358-3443","affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, MS Ramaiah University of Applied Sciences, Bengaluru, India","institution_ids":["https://openalex.org/I302410947"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5002844497"],"corresponding_institution_ids":["https://openalex.org/I302410947"],"apc_list":null,"apc_paid":null,"fwci":0.6228,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.6150663,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":97},"biblio":{"volume":"19","issue":"3","first_page":"1344","last_page":"1364"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12205","display_name":"Time Series Analysis and Forecasting","score":0.9979000091552734,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T12205","display_name":"Time Series Analysis and Forecasting","score":0.9979000091552734,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11269","display_name":"Algorithms and Data Compression","score":0.9692999720573425,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11309","display_name":"Music and Audio Processing","score":0.9351000189781189,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/correlation","display_name":"Correlation","score":0.6356110572814941},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.40319275856018066},{"id":"https://openalex.org/keywords/statistical-physics","display_name":"Statistical physics","score":0.3230751156806946},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.27861014008522034},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.19862458109855652}],"concepts":[{"id":"https://openalex.org/C117220453","wikidata":"https://www.wikidata.org/wiki/Q5172842","display_name":"Correlation","level":2,"score":0.6356110572814941},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.40319275856018066},{"id":"https://openalex.org/C121864883","wikidata":"https://www.wikidata.org/wiki/Q677916","display_name":"Statistical physics","level":1,"score":0.3230751156806946},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.27861014008522034},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.19862458109855652},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1177/18724981251318529","is_oa":true,"landing_page_url":"https://doi.org/10.1177/18724981251318529","pdf_url":"https://journals.sagepub.com/doi/pdf/10.1177/18724981251318529","source":{"id":"https://openalex.org/S119727669","display_name":"Intelligent Decision Technologies","issn_l":"1872-4981","issn":["1872-4981","1875-8843"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Intelligent Decision Technologies","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1177/18724981251318529","is_oa":true,"landing_page_url":"https://doi.org/10.1177/18724981251318529","pdf_url":"https://journals.sagepub.com/doi/pdf/10.1177/18724981251318529","source":{"id":"https://openalex.org/S119727669","display_name":"Intelligent Decision Technologies","issn_l":"1872-4981","issn":["1872-4981","1875-8843"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Intelligent Decision Technologies","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W2006761268","https://openalex.org/W2045272935","https://openalex.org/W2105510466","https://openalex.org/W2106595237","https://openalex.org/W2117259173","https://openalex.org/W2118418963","https://openalex.org/W2131020804","https://openalex.org/W2171778903","https://openalex.org/W2261651207","https://openalex.org/W2399594450","https://openalex.org/W2400197280","https://openalex.org/W2400366940","https://openalex.org/W2483430316","https://openalex.org/W2509565210","https://openalex.org/W2743061314","https://openalex.org/W2916970862","https://openalex.org/W3009167846","https://openalex.org/W3177564301","https://openalex.org/W4407356037","https://openalex.org/W6692351669","https://openalex.org/W6722243183"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W4391913857","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052"],"abstract_inverted_index":{"Uncovering":[0],"novel":[1,176],"relationships":[2,43,142,199],"in":[3,32,67,131,160,200],"time":[4,33,46,81,149,179],"series":[5,34,50,82,180],"data":[6,83,123,127,198],"is":[7],"crucial":[8],"for":[9,107,186,195],"understanding":[10,136],"complex":[11,164,197],"systems.":[12],"Traditional":[13],"methods,":[14],"such":[15],"as":[16],"linear":[17,42,56],"regression":[18],"and":[19,70,75,111,124,135,188,190,206],"frequency":[20],"domain":[21],"analysis,":[22,112,181],"often":[23],"fail":[24],"to":[25,53,93],"capture":[26],"the":[27,54,63,129,144,183],"complex,":[28],"non-linear":[29],"interactions":[30,165],"present":[31],"data.":[35],"Multipoles":[36],"represent":[37],"a":[38,85,175,192],"new":[39],"class":[40],"of":[41,65],"among":[44],"multiple":[45],"series,":[47,150],"where":[48],"each":[49],"significantly":[51],"contributes":[52,174],"overall":[55],"dependence.":[57],"In":[58,147],"this":[59],"paper,":[60],"we":[61],"demonstrate":[62],"utility":[64],"multipoles":[66],"climate":[68,122,204],"science":[69,205],"neuroscience,":[71],"revealing":[72],"meaningful":[73],"patterns":[74,134],"interactions.":[76],"The":[77],"proposed":[78],"approach":[79],"transforms":[80],"into":[84,90],"multipole":[86,109],"representation,":[87],"decomposing":[88],"it":[89,162],"multipolar":[91],"components":[92],"detect":[94],"intricate":[95],"dependencies":[96],"typically":[97],"obscured":[98],"by":[99],"conventional":[100],"techniques.":[101],"This":[102,172],"work":[103],"uses":[104],"scalable":[105],"algorithms":[106],"efficient":[108],"transformation":[110],"validated":[113],"through":[114],"experiments":[115],"on":[116,178],"real-world":[117],"datasets.":[118],"Experimental":[119],"results":[120],"using":[121],"blood":[125],"pressure":[126],"show":[128],"significance":[130],"detecting":[132],"hidden":[133],"underlying":[137],"correlations":[138],"helping":[139],"us":[140],"map":[141],"between":[143,166],"relevant":[145],"parameters.":[146],"climatic":[148],"our":[151],"method":[152],"uncovers":[153],"weather":[154],"dynamics":[155],"with":[156],"threshold":[157],"values,":[158],"while":[159],"healthcare,":[161],"reveals":[163],"physiological":[167],"parameters":[168],"demonstrating":[169],"graphical":[170],"results.":[171],"paper":[173],"perspective":[177],"enriching":[182],"analytical":[184],"toolbox":[185],"researchers":[187],"practitioners,":[189],"offers":[191],"promising":[193],"direction":[194],"exploring":[196],"various":[201],"domains,":[202],"including":[203],"neuroscience.":[207]},"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2026-08-02T14:50:37.381335","created_date":"2025-10-10T00:00:00"}
